I have a table as follows:
Product #users Date Count Type
prodA 29 2013-02-27 113 Document
prodA 31 2013-03-02 152 Extraction
prodB 17 2013-02-26 40 Document
prodB 28 2013-03-02 73 Extraction
I need to use a pivot table on the [Type]/Count column and obtain a table as follows:
Product #users Date Document Extraction
prodA 60 2013-03-02 113 152
prodB 45 2013-03-02 40 73
where the #user column is the sum group by product, and the Date is the max date group by product.
This is what I got so far:
SELECT Product,
sum(users),
max([Date]),
[Document],[Extraction] FROM Table
PIVOT
( sum([Count]) FOR [Type] IN ( Document , Extraction)) AS [QUANTITY]
GROUP BY activity, document, extraction
but my final results give me something like this instead:
Product #users Date Document Extraction
prodA 31 2013-03-02 NULL 152
prodA 29 2013-02-27 113 NULL
prodB 28 2013-03-02 NULL 73
prodB 17 2013-02-26 40 NULL
It is not grouping by the Product!
Any ideas?
EDIT:
So far, I have
WITH Pivoted
AS
(
SELECT *
FROM table1
PIVOT
(
sum([Count]) FOR [Type] IN ( Document ,
Extraction)
) AS p
)
SELECT
product,
SUM(Users) AS TotalUsers,
MAX(DAte) AS LatestDate,
MAX(Document) AS Document,
MAX(Extraction) AS Extraction
FROM Pivoted
GROUP BY Product;
but my table1 above is actually made of codes below:
WITH a
AS(
SELECT activity,
username,
[Last Accessed] = max(DATEADD(dd, DATEDIFF(d, 0, ActDateTime), 0)), --[#Users] = count(distinct username),
CASE WHEN COUNT(activity)IS NOT NULL THEN 1 ELSE 0 END AS Count,
CASE WHEN pageURL LIKE '/Document%'
OR pageURL LIKE '/Database%' THEN 'Document' ELSE 'Extraction' END AS [Type] --into #temp
from activitylog
where pageURL not like '%home%' AND pageURL not like '/Default%'
--AND ActDateTime >= @StartDate AND ActDateTime <= @EndDate
group by activity,
username,
--department,
DATEADD(dd, DATEDIFF(d, 0, ActDateTime), 0),
CASE WHEN pageURL LIKE '/Document%' OR pageURL LIKE '/Database%' THEN 'Document' ELSE 'Extraction' END
--order by activity--, username, department,DATEADD(dd, DATEDIFF(d, 0, ActDateTime), 0)
)
,b as
(select activity, count(distinct username) as [Users] ,
--department ,
max([Last Accessed]) as [Last Accessed1],count([count])as [Count],[Type] from a --into #temp1 from #temp
group by activity,
--department,
[Type]
)
select * from b order by activity;
so my question is, HOW do i put the chunk of code above that makes Table1 within the first WITH AS?
Thanks
You can't GROUP BY activity, document, extraction
within the PIVOT
table operator, the PIVOT
operator infers the grouped columns automatically. But you can write it this way:
WITH Pivoted
AS
(
SELECT *
FROM table1
PIVOT
(
sum([Count]) FOR [Type] IN ( Document ,
Extraction)
) AS p
)
SELECT
product,
SUM(Users) AS TotalUsers,
MAX(DAte) AS LatestDate,
MAX(Document) AS Document,
MAX(Extraction) AS Extraction
FROM Pivoted
GROUP BY Product;
This will give you:
| PRODUCT | TOTALUSERS | LATESTDATE | DOCUMENT | EXTRACTION |
-------------------------------------------------------------------------------
| prodA | 60 | March, 02 2013 02:00:00+0000 | 113 | 152 |
| prodB | 45 | March, 02 2013 02:00:00+0000 | 40 | 73 |
WITH a
AS(
SELECT
activity,
username,
[Last Accessed] = max(DATEADD(dd,
DATEDIFF(d, 0, ActDateTime),
0)),
--[#Users] = count(distinct username),
CASE
WHEN COUNT(activity) IS NOT NULL THEN 1
ELSE 0
END AS Count,
CASE
WHEN pageURL LIKE '/Document%'
OR pageURL LIKE '/Database%' THEN 'Document'
ELSE 'Extraction'
END AS [Type]
from activitylog
where pageURL not like '%home%'
AND pageURL not like '/Default%'
group by activity,
username,
...
), Pivoted
AS
(
SELECT *
FROM a
PIVOT
(
sum([Count]) FOR [Type] IN ( Document ,
Extraction)
) AS p
)
SELECT
product,
SUM(Users) AS TotalUsers,
MAX(DAte) AS LatestDate,
MAX(Document) AS Document,
MAX(Extraction) AS Extraction
FROM Pivoted
GROUP BY Product;